Efficient Action Robust Reinforcement Learning with Probabilistic Policy Execution Uncertainty

Guanlin Liu, Zhihan Zhou, Han Liu +1

Robust reinforcement learning (RL) aims to find a policy that optimizes the worst-case performance in the face of uncertainties. In this paper, we focus on action robust RL with th…